The uncertainty in CFD based simulation results may be quantified through rigorous verification, validation and uncertainty quantification (VVUQ) procedures. Procedures and frameworks such as the ASME V&V 20, and Oberkampf and Roy Uncertainty frame work require extensive simulations, post-processing workflows and management of the simulation results to quantify the contributions of numerical uncertainty, model input uncertainty and model form uncertainty to the total uncertainty for any given study or design. To date, the application of VVUQ procedures were ad hoc implementations. Spectre is a new computational environment designed to enable CFD practitioners to easily quantify the total uncertainty in their computational study and campaigns. This presentation will present how Spectre makes use of "Wizard-based" user interfaces to guide the user through all the steps needed to arrive at the total uncertainty using the OVERFLOW2 code. Work in progress case studies based upon a UQ study of a NACA0012 airfoil at zero lift, a multi-element airfoil and the AIAA High Lift Prediction workshop Common Research Model will be presented.

Synopsis: Modern high-fidelity physics simulation methods generate massive amounts of data, so a challenging scenario exists for efficiently processing results to create new knowledge. The rate of new data generation has far surpassed data rates for disk read/write operations and transfer from remote computational facilities. FieldView post-processing enables scientists and engineers to efficiently create new knowledge with scalable methods that navigate around these limitations. The FieldView tutorial will cover the following topics.

Overview of FieldView including new and upcoming features

Parallel calculations for efficient post-processing

Remote visualizations to reduce data transfer

Extract based workflows to minimize disk read/write operations

Data analytics for solution decomposition and insight into the underlying state-variables

Intelligent Light will present FieldView at the Converge UC in Madison, September 25-26, 2018. Please visit us at our exhibit table or attend our vendor presentation to learn how FieldView can help you advance your CFD:

Fastest for reading your Converge data

Side-by-side comparison across multiple cases

Easy and powerful automation

Data Analytics for unsteady results​

Plus, get a sneak peek at the new FieldView version 18 withrealistic rendering.

FieldView will help you deliver your best work, stand out from the crowd and increase the impact that CFD makes for your organization.

We are pleased to sponsor the conference and look forward to seeing you there.

Interest in the use of modal analysis / Reduced Order Analysis (ROA) for CFD is growing quickly. Our customers tell us that data analysis will have a huge impact and are looking for practical ways to apply it to their current work. Intelligent Light is contributing to this exciting field with an all new tutorial written by our in-house expert, Dr. Steve Makinen. Dr. Makinen is a veteran of the rotorcraft industry with extensive experience in rotorcraft aeroelasticity and coupled computational fluid/structural dynamics (CFD/CSD).

The new tutorial will allow users of FieldView 17 to explore the Data Analysis capabilities of FieldView. Step-by-step instructions provide an easy introduction to using FieldView 17 to leverage capabilities of Excel, MATLAB, Octave and NumPy. This will greatly expand the range of post-processing methods including Fast Fourier Transform (FFT) and Proper Orthogonal Decomposition (POD) and provide a framework for users to implement other methods such as Dynamic Mode Decomposition (DMD). These methods can provide greater insight into simulation results and engineering design through feature identification, state-variable representation and much more.

The Data Analysis tutorial includes Octave/MATLAB programs for processing data and toolboxes for writing PLOT3D and FV-UNS files so the results can be viewed in FieldView.

I encourage you use the tutorial to become more familiar with the power of Modal Analysis for CFD. Please let us know what you think by sending an email to FieldView@ilight.com.

I am pleased to have been asked to update the HPC community on our vision for using data science to complement and enhance CFD in science and engineering. This is a very active area of research today. In March Intelligent Light was honored to participate in the "US-Japan Workshop on Bridging Fluid Mechanics and Data Science" in Tokyo, the first such event in history. We have been meeting with our FieldView customers throughout the world to understand their needs and to see how we can help them solve problems through FieldView Analytics. Data science can help us to better understand the dynamical systems represented by CFD simulations and revealed by experiments, with the goal of getting better designs sooner with less computation.